MCP servers and skills: search, filter by where they run, and compare.
Smart Tree: not just a tree, a philosophy. A context-aware, AI-crafted replacement for 20+ tools with MEM8 quantum compression, semantic search, AST-smart editing, and partnership memory. Crafted with
SkillMIT★ 271No key
OSINT tool for username search, email lookup and phone intelligence. 7,900+ lookup modules standardised from 19 projects, with enriched results, evidence graphs and MCP integration. By the OSINT Exper
PythonGPL-3.0★ 112No key
Notes die in folders. Stellavault keeps your knowledge alive — 3D knowledge graph, AI semantic search, memory decay tracking, P2P federation, 17+ MCP tools. npm i -g stellavault
Node.jsMIT★ 5No key
Give coding agents trustworthy, cited answers about your codebase. Code graph + MCP server, no LLM required.
PythonMIT★ 9No key
Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.
SkillMIT★ 43No key
A standalone Rust memory engine for AI coding assistants. Single binary, zero runtime deps. Graph-vector hybrid with MCP tools.
SkillApache-2.0★ 18No key
Self-organizing retrieval fabric for AI memory — deployable MCP server, REST API, and Python SDK
PythonMIT★ 4Few starsNo key
Local MCP code-memory engine for AI agents: structural graph + semantic search, sharded storage, project isolation, and fractal code visualization.
PythonMIT★ 3Few starsNo key
내 문서(PDF·TXT·MD 등)를 AI가 읽고 검색하게 만들고 3D 지식 성운으로 시각화하는 Windows 원클릭 키트. MCP로 Claude·Cursor 등 AI 도구에 연결. 한/영 왕초보 가이드 포함.
SkillApache-2.0★ 3Few starsNo key
Run iterative improvement for NVIDIA TAO CLIP / SigLIP image-text retrieval on attribute-labelled data. Use when a request combines retrieval evaluation, weak-attribute or caption-pair mining, repeate
OfficialSkillApache-2.0 AND CC-BY-4.0★ 3.6k in collectionNo key
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
PythonMIT★ 740No key
Hands-on code, labs, and reference material by Omar Santos for building, securing, and operating AI agents in cybersecurity.
SkillBSD-3-Clause★ 246No key
MCP server for Kibana, Access search and manage Kibana in MCP Client.
Node.jsApache-2.0★ 84No key
Modular Python 3.11+ coding and agent platform — 130 modules spanning LLM agents (13+ providers), graph RAG, static analysis, git ops, cloud and container deployment, all exposed as 612 Model Context
SkillMIT★ 11No key
PitchLense is a comprehensive AI-powered startup analysis platform that provides detailed risk assessment and growth potential evaluation for early-stage ventures. The platform analyzes multiple dimen
SkillMIT★ 9No key
Bioinspired Agent Memory Engine — 7-layer brain-modeled memory lifecycle for AI agents. Just pass your LLM: CortiLoop(llm=agent.llm). Built-in embedding (bge-m3) + reranking (cross-encoder). Works wit
PythonMIT★ 4Few starsNo key
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